List of job offers
At Jacobs we're embarking on an exciting journey as we initiate the development of our Digital & Data Hub in the heart of Krakow. Our mission is to undertake projects spanning various industries, including Consumer and Manufacturing, Defence and Security, Energy and Utilities, Financial Services, Government and Public Services, Health and Life Sciences, and Transport. Join our dynamic team where you’ll have the opportunity to work on a wide variety of projects across different domains. We... (more)
- Design, develop, and optimize data architectures that support AI and Machine Learning workflows
- Integrate large-scale datasets from multiple sources to ensure consistency, accessibility, and performance
- Build scalable, automated data pipelines to support real-time and batch data processing
- Utilize cloud-based ETL services (e.g., Glue, Lambda, Data Pipeline or equivalent) to manage data ingestion, transformation, and integration tasks
- Collaborate with data scientists and ML engineers to...
- 3 years of experience in data engineering or related roles, with a strong focus on cloud-based solutions
- Proficiency in programming languages such as Python or Scala
- Solid understanding of machine learning frameworks (e.g. TensorFlow, PyTorch) and ability to integrate with cloud services (Azure experience is a plus)
- Experience with RAG and vector-based indexing for optimizing large language models
- Ability to leverage AI services such as Azure AI Search, Azure OpenAI, or equivalent ...
Introduction & Summary We are seeking qualified Data Engineers. Ideal candidates will possess at least five years of experience in DevOps environments, showcasing their proficiency in agile software development practices and extensive knowledge of Azure Databricks. Main Responsibilities Collaborate with the DevOps team and internal subject matter experts. Develop and deploy solutions on the Azure platform utilizing Infrastructure as Code. Implement and maintain components on the Azure Databricks... (more)
- Collaborate with the DevOps team and internal subject matter experts.
- Develop and deploy solutions on the Azure platform utilizing Infrastructure as Code.
- Implement and maintain components on the Azure Databricks platform.
- Follow Agile methodologies to ensure timely project delivery.
- Participate in performance diagnostics and condition monitoring system development.
- Align development efforts with user requirements and stakeholder feedback.
- Regularly report on project status and ...
- Hands-on experience in developing Azure platforms using IaC tools such as BICEP and Terraform.
- Extensive expertise with the Azure Databricks platform including Unity Catalog, Spark, Python, and Databricks Asset Bundles.
- Advanced proficiency in Python for backend API development using frameworks such as FastAPI and Flask.
- Thorough knowledge of core Python libraries including NumPy and Pandas.
- At least five years of experience in the relevant domain.
- Experience in performance monitoring and tuning of data solutions (Nice to Have).
- Knowledge of best practices in cloud architecture and design (Nice to Have).
- Familiarity with machine learning principles and tools (Nice to Have).
- Project duration is scheduled for three to six months, starting in Q2 2026 and running into Q3 2026.
- Opportunities for remote work subject to agreement.
- Project may entail periods of reduced capacity, approximately 50%, depending on the factory's startup ...
This role focuses on information governance and data protection controls for Microsoft Copilot, with a strong emphasis on Microsoft Purview and Sensitivity Labels. The role ensures that Copilot processes only approved and correctly classified data. What can you expect with us? Information Classification Architecture: Designing and maintaining a Copilot-ready classification taxonomy and implementing it in Microsoft Purview. Copilot Governance Controls: Configuring and optimizing Sensitivity... (more)
- Information Classification Architecture: Designing and maintaining a Copilot-ready classification taxonomy and implementing it in Microsoft Purview.
- Copilot Governance Controls: Configuring and optimizing Sensitivity Labels to control Copilot access and data extraction.
- Automated Classification: Building and maintaining auto-labeling policies for existing and newly created data.
- DLP Controls for Copilot: Defining and managing Data Loss Prevention policies to protect sensitive and ...
- 4 years of experience in Data Governance.
- Strong expertise in Microsoft Purview and Sensitivity Labels.
- Solid understanding of the Microsoft 365 ecosystem and hands-on DLP experience.
- Bachelor’s degree in Information Management, Information Systems, Computer Science, or a related field.
- A Master’s degree in Information Governance, Data Protection, or IT Security is a plus.
- Relevant professional certifications (e.g. Microsoft Purview, Information Protection, DLP) are beneficial ...
- [Benefits information not provided in the original text.]
Remote work
Summary As an IDP Architect, you will play a key role in shaping and driving the architecture of the Integrated Development Platform (IDP). This role focuses on understanding business needs, translating them into scalable solutions, and ensuring alignment with enterprise architecture, DevOps practices, and software development lifecycle standards. Main Responsibilities Understand business use cases and translate them into scalable architectural solutions. Evaluate and challenge non-sustainable... (more)
- Understand business use cases and translate them into scalable architectural solutions.
- Evaluate and challenge non-sustainable or inefficient business requirements.
- Ensure alignment of IDP solutions with enterprise architecture standards.
- Define and drive functional and technical architecture for IDP initiatives.
- Lead design discussions and provide architectural guidance to development teams.
- Work with tools such as IBM ELM suite (DOORS Next, EWM, ETM, GC) for lifecycle management. -...
- Strong understanding of Software Development Lifecycle (SDLC) with focus on DevOps and CI/CD architecture.
- Experience in enterprise architecture and scalable system design.
- Expertise in IDP frameworks and developer platforms (e.g., Backstage).
- Knowledge of IBM ELM tools and lifecycle collaboration (OSLC).
- Ability to design and integrate RESTful APIs.
- Proficiency in Python for automation and scripting.
- Understanding of data governance practices (Collibra).
- Nice to Have:
- ...
- Experience: 10 years in software development and architecture roles.
- Strong exposure to enterprise-level DevOps and CI/CD ecosystems.
- Proven ability to connect business requirements with technical solutions.
Remote work
Job Description – JD Edwards (E1) Developer We are seeking a skilled Senior JD Edwards (E1) Developer to play a pivotal role in our ERP organization. The ideal candidate will contribute to process redesign and project execution, ensuring high-quality delivery in line with governance standards. The JD Edwards Developer will manage the development lifecycle, focusing on integrations and enhancements for a new global MES Solution project, as well as having the end-to-end responsibility for ERP... (more)
- Collaborate with internal leads to develop technical solutions.
- Manage Requests for Change (RFCs) and propose minor enhancements to the E1 platform.
- Participate in continuous process improvements.
- Ensure quality assurance throughout development efforts.
- Drive independent task progress.
- Record daily time spent on RFC tasks.
- Strong experience with the E1 development lifecycle.
- Solid understanding of E1 applications.
- Proven expertise in FDA, RDA, NER, BSSV, and table/view design.
- Experience with at least 2 JD Edwards modules (Finance, Distribution, Manufacturing, Sales).
- Proficiency in C programming and Orchestration Studio.
- Expertise in scripting languages such as Groovy.
- Ability to challenge and improve technical solutions.
- Fluent in English (written and spoken).
- Ability to work independently and ...
- Start date: As soon as possible.
- Duration: 1½ to 2-2½ months.
- Workload: Fulltime.
- Location: Remote.
Lead AI Strategy Summary: The Lead AI Strategy is responsible for bridges the gap between high-level business vision and technical AI execution. This role focuses on identifying, evaluating, and prioritizing AI use cases that can transform drug discovery, clinical development, and commercial operations. You will act as the primary architect of the AI roadmap, ensuring that every initiative aligns with the organization’s long-term scientific goals and competitive positioning. Key Requirements:... (more)
- Develop and maintain the enterprise AI roadmap, ensuring a balanced portfolio of short-term wins and long-term transformational projects.
- Conduct strategic assessments of emerging AI technologies (e.g., Generative AI, LLMs) to determine their potential impact on Life Science workflows.
- Establish frameworks for AI value measurement, tracking KPIs related to speed-to-market, cost reduction, and improved patient outcomes.
- Collaborate with Legal, Privacy, and Quality teams to define the ...
- Proven professional experience within the Life Science industry, with a deep understanding of the pharmaceutical value chain and the regulatory implications of AI/ML (GxP, FDA/EMA guidance on AI).
- Minimum of 8 years of experience in strategic consulting, digital transformation, or AI program leadership, with a strong track record of moving projects from ideation to value realization.
- Expertise in assessing the feasibility, ROI, and ethical considerations of AI technologies in a medical or ...
- Not specified in the original text.
Principal Data Program Strategy Lead Summary: The Principal Data Program Strategy Lead is a high-level strategic role responsible for the design and execution of the organization’s most critical data-driven initiatives. This position focuses on aligning complex data architectures and advanced analytics with scientific and business objectives. You will lead the transition toward a data-centric ecosystem that accelerates drug development and clinical excellence while operating within a stringent... (more)
- Architect and oversee the strategic roadmap for enterprise-wide data initiatives, ensuring alignment with R&D and clinical milestones.
- Ensure all data programs meet the highest quality and compliance standards required for regulatory audits and submissions.
- Act as the lead strategist in modernizing the data landscape, integrating AI/ML readiness into the core data infrastructure.
- Orchestrate cross-functional collaboration between IT, Data Engineering, and Clinical Operations to break ...
- Extensive experience within the Life Science industry, specifically managing data platforms in compliance with GxP, HIPAA, and FDA/EMA data integrity standards (ALCOA).
- Proven track record of leading large-scale, enterprise-level Data IT programs, such as Cloud Data Lake migrations, Master Data Management (MDM), or Clinical Data Repository (CDR) implementations.
- Deep understanding of the data lifecycle in a regulated environment, from ingestion and processing to validation and submission. ...
- [Benefits information not provided in the original text]
Summary: The Director of AI is a senior leadership role responsible for the strategic development and implementation of artificial intelligence and machine learning solutions across the organization. This role focuses on scaling AI capabilities to drive innovation in areas such as drug discovery, clinical trial optimization, and patient analytics. You will be responsible for building a high-performing AI organization that balances cutting-edge research with the practical, compliant delivery of... (more)
- Lead the global AI strategy, ensuring that all initiatives are aligned with the organization’s scientific mission and long-term business goals.
- Direct the design and deployment of AI-driven platforms that enhance R&D efficiency, shorten clinical trial timelines, and improve decision-making accuracy.
- Oversee the AI governance framework, ensuring all models meet rigorous standards for transparency, explainability, and regulatory audit-readiness.
- Partner with the Director of Data and ...
- Extensive professional experience within the Life Science industry, with a deep understanding of the regulatory requirements for AI/ML validation, GxP compliance, and ethical data usage in a clinical context.
- Minimum of 10 years of experience in IT and Data Science leadership, with a proven track record of successfully directing AI initiatives from research/POC to enterprise-wide deployment.
- Strong technical authority in machine learning architectures, deep learning, and the infrastructure...
- Opportunity to build a high-performing AI organization that balances cutting-edge research with practical, compliant delivery of production-ready models.
- Drive innovation in areas such as drug discovery, clinical trial optimization, and patient analytics.
Digital Transformation Director Summary: The Digital Transformation Director is a high-level leadership role responsible for driving the modernization of the organization’s operating model through digital technologies. You will be the architect of large-scale change, overseeing the transition from legacy processes to agile, digitally-enabled workflows. Your goal is to leverage digital tools to accelerate drug development, enhance clinical trial efficiency, and improve the overall patient and... (more)
- Lead the design and execution of the global digital transformation strategy, ensuring alignment with the organization's long-term scientific and commercial goals.
- Direct the modernization of the digital core, ensuring that new platforms and technologies are fully integrated and compliant with Life Science quality standards.
- Act as a primary change agent, fostering a digital-first culture across the organization and mentoring leaders on the adoption of agile methodologies.
- Manage the ...
- Extensive professional experience within the Life Science industry, with a profound understanding of how to implement digital solutions within the constraints of GxP, CSV (Computer System Validation), and global health regulations.
- Minimum of 8 years of experience in IT leadership or management consulting, with a proven track record of directing complex, enterprise-wide digital transformation programs.
- Deep knowledge of emerging digital trends in Life Sciences, such as Decentralized ...
- Opportunity to drive large-scale change and modernization within the organization.
- Engage in innovative digital transformation initiatives that enhance drug development and clinical trial efficiency.
- Work in a dynamic environment that fosters a digital-first culture and agile methodologies.
Summary: The Head of Strategy is a critical executive role responsible for defining the long-term direction of the organization and ensuring its competitive positioning within the global market. This role involves identifying growth opportunities, assessing market trends, and aligning internal capabilities to meet the evolving demands of the scientific and healthcare landscape. You will work closely with the CEO and Board to translate vision into actionable strategic plans. Key Requirements:... (more)
- Lead the annual and multi-year strategic planning process, ensuring alignment across R&D, Clinical, and Commercial business units.
- Monitor the Life Science competitive landscape and emerging technologies to identify potential disruptions or opportunities for market expansion.
- Oversee corporate development initiatives, including the evaluation of strategic alliances, licensing opportunities, and potential acquisitions.
- Define Key Performance Indicators (KPIs) and strategic milestones to ...
- Extensive experience within the Life Science industry, with a deep understanding of market access, the pharmaceutical value chain, and the impact of regulatory shifts on business strategy.
- Minimum of 10 years of experience in strategic planning, management consulting, or corporate development, preferably within a global biotech or pharma context.
- Proven ability to analyze complex scientific and financial data to drive investment decisions, mergers and acquisitions (M&A), or strategic ...
- [Details about benefits are not provided in the original text.]
Lead Data Strategy Summary: The Lead Data Strategy is a senior-level strategist responsible for defining how the organization collects, manages, and leverages data to drive scientific and business value. This role focuses on creating a cohesive data vision that breaks down departmental silos and ensures that data assets are optimized for research, clinical excellence, and operational efficiency. You will be the primary architect of the data roadmap, ensuring that the organization’s data... (more)
- Define and own the enterprise data strategy and roadmap, ensuring alignment with the organization’s R&D and commercial objectives.
- Act as the strategic lead for data governance, ensuring that all data-related activities meet the highest standards of integrity, security, and regulatory audit-readiness.
- Identify and prioritize high-value data use cases, from optimizing clinical trial recruitment to enhancing real-world evidence (RWE) analytics.
- Partner with the AI and Analytics teams to ...
- Proven professional experience in the Life Science sector, with deep knowledge of data lifecycle management in a regulated environment, including GxP, clinical data standards, and HIPAA/GDPR compliance.
- Minimum of 8 years of experience in data strategy, data architecture, or digital transformation, with a focus on enterprise-level data initiatives.
- Strong expertise in designing data governance frameworks and data quality programs specifically tailored for pharmaceutical or biotech ...
- The job offer does not specify benefits.
Head of Artificial Intelligence Summary: The Head of Artificial Intelligence is a senior executive role responsible for the overarching AI vision, strategy, and execution across the entire enterprise. This leader will drive the integration of machine learning, deep learning, and cognitive computing into the core of our scientific and business processes. You will be accountable for building a world-class AI capability that directly contributes to breakthroughs in drug discovery, clinical... (more)
- Define and champion the enterprise-wide AI strategy, ensuring it is a primary driver for innovation in R&D, clinical trials, and manufacturing.
- Establish and chair the AI Governance Board to ensure ethical AI practices, data integrity, and strict adherence to international regulatory requirements.
- Drive the industrialization of AI, moving from local proof-of-concepts to robust, scalable enterprise solutions that deliver measurable ROI.
- Partner with the Executive Leadership Team to ...
- Professional experience within the Life Science industry, demonstrating a clear understanding of the unique challenges of deploying technology in a regulated environment (GxP, clinical trials, or pharmaceutical R&D).
- Extensive track record (10 years) of professional experience in IT leadership, with a focus on building and scaling high-performing AI/ML teams.
- Extensive expertise in the AI/ML lifecycle, including a deep understanding of the unique requirements for model validation and ...
- Opportunity to build a world-class AI capability that directly contributes to breakthroughs in drug discovery, clinical development, and patient outcomes.
Opis stanowiska Wdrażanie, konfiguracja oraz rozwój środowisk Microsoft 365, w szczególności w obszarze Microsoft Teams (w tym Teams Phone), Exchange Online, OneDrive, Entra ID, Microsoft Defender oraz Microsoft Purview. Aktywny udział w projektach z obszaru Modern Work, AI Business Solutions oraz rozwiązań opartych o Microsoft 365 Copilot. Wsparcie działań presales poprzez współtworzenie koncepcji technicznych i architektonicznych , przygotowywanie prezentacji oraz materiałów dla... (more)
- Wdrażanie, konfiguracja oraz rozwój środowisk Microsoft 365, w szczególności w obszarze Microsoft Teams (w tym Teams Phone), Exchange Online, OneDrive, Entra ID, Microsoft Defender oraz Microsoft Purview.
- Aktywny udział w projektach z obszaru Modern Work, AI Business Solutions oraz rozwiązań opartych o Microsoft 365 Copilot.
- Wsparcie działań presales poprzez współtworzenie koncepcji technicznych i architektonicznych, przygotowywanie prezentacji oraz materiałów dla klientów, ...
- Minimum 5–7 lat doświadczenia w pracy z platformą Microsoft 365, w szczególności z obszarami Microsoft Teams, Exchange Online, OneDrive, Entra ID, Microsoft Defender oraz Microsoft Purview.
- Praktyczna znajomość Microsoft 365 Copilot, Power Platform (Power Automate, Power Apps) oraz Copilot Studio, wykorzystywanych w projektach biznesowych i adopcyjnych.
- Umiejętność automatyzacji zadań administracyjnych i operacyjnych przy użyciu PowerShell.
- Dobra znajomość zagadnień ...
- Poszukujemy doświadczonego Inżyniera/-ki Rozwiązań Microsoft 365 & Microsoft 365 Copilot, który/a będzie odpowiedzialny/a za projektowanie, wdrażanie i rozwój nowoczesnych rozwiązań z obszaru Modern Work, AI Business Solutions oraz Microsoft 365 Copilot.
- Rola łączy kompetencje techniczne z pracą projektową, presales oraz bezpośrednią współpracą z klientami.
IAM Cloud Engineer Location: Hybrid Kraków (6 days a month) Employment type: B2B Domain: Cloud Security / Identity & Access Management About the role We are looking for an IAM Cloud Engineer to join a team responsible for building and maintaining a modern cloud-based Identity and Access Management solution. You will support identity and access governance in a cloud-native environment and contribute to the development of a modern web application. The system is built using Next.js , React , UI... (more)
- Supporting the IAM Cloud Control Owner in designing and reviewing user authorization concepts
- Maintaining and developing the IAM Cloud solution
- Handling and responding to technical IAM-related requests
- Reviewing cloud-native logs and preparing queries for audit purposes
- Contributing to the development of IAM application components
- Collaborating with security and infrastructure teams
- Strong understanding of Identity & Access Management (IAM) in cloud environments
- Knowledge of cloud-native system architecture
- Programming skills (TypeScript preferred)
- Experience with access control models, roles, and permission systems
- Ability to work with logs and audit data
- Understanding of modern web application deployment patterns
Nice to Have
- Experience with Google Cloud Platform or other cloud providers (AWS / Azure)
- Hands-on experience with Next.js / React
- ...
- Opportunity to work on a modern, cloud-native IAM platform
- High impact on system architecture and design decisions
- Modern technology stack and engineering practices
- Collaboration with security and cloud engineering teams
- Career growth in Cloud Security and IAM domain
Director of Data Summary: The Director of Data is a senior leadership role responsible for the strategic oversight and technical excellence of the organization's data ecosystem. This role focuses on building a scalable, high-performance data organization that supports the complex needs of modern drug discovery and clinical development. You will ensure that data flows seamlessly across the enterprise, providing a "single source of truth" that is compliant, secure, and optimized for advanced... (more)
- Define and execute the global enterprise data strategy, ensuring that data infrastructure is aligned with R&D, clinical, and commercial milestones.
- Lead the Data Governance and Quality initiatives to ensure 100% compliance with international regulatory standards and data privacy laws (GDPR/HIPAA).
- Direct the engineering teams in building robust, automated data pipelines that support real-time reporting and AI/ML model training.
- Collaborate with the Director of AI and other business heads...
- Substantial professional experience within the Life Science industry, with a deep understanding of GxP data integrity standards (ALCOA), clinical data management, and pharmaceutical regulatory environments.
- Minimum of 10 years of experience in Data Engineering, Data Architecture, or Analytics leadership, with a proven track record of managing large-scale global data platforms.
- Expertise in leading the design and implementation of modern data infrastructure, including Cloud Data Warehousing...
- [Benefits details not provided in the original text]